SMARTS™ AI & MODELOPS
Incorporate predictive analytics into decisions
- Operationalize data science models
- Create fair and explainable models to complement data science ones
- Manage model and decision lifecycle in one place
See SMARTS™ AI & ModelOps in Action
OPERATIONALIZE DATA SCIENCE MODELS
Integrate machine learning through various approaches
- Import Python models
- Import models developed in external platforms (ex. SAS, SPSS, R) in ONNX and PMML formats
- Invoke models operationalized outside of SMARTS™ (external services)
Importing a Python model
CREATE FAIR AND EXPLAINABLE MODELS TO COMPLEMENT DATA SCIENCE ONES
Combine data insight and expert knowledge with BluePen
- Explore data statistics and correlations
- Select data attributes and modeling technique (ex. forest, neural network) to generate a model
- Alternatively, interactively build a decision tree from scratch
- Calculate fairness and explainability metrics using industry standard techniques (ex. SHAP, disparate impact)
Exploring Statistics and Correlations with BluePen
Interactively Building a Decision Tree with BluePen
Selecting Techniques for Checking Fairness
Selecting Explainability Method
MANAGE MODEL AND DECISION LIFECYCLE IN ONE PLACE
Test, deploy, and monitor models directly in SMARTS™
- Conduct simulations and champion/challenger experiments to test different models
- View status of Python models in Lifecycle Management UI
- Monitor model performance in real-time and create alerts for model drift
- Automate model retraining and replacement
Viewing Python virtual environments in Lifecycle Management UI
Your Next Step
FEATURED BLOG POSTS
What Decision Experts Have to Say About AI
A panel of decision experts, including Sparkling Logic CTO, Carlos Serrano-Morales, gathered at DecisionCAMP 2025 to discuss the impact of AI on business decision-making and work. You can find the recording of the whole discussion here. Here are highlights of what...
Achieving Actionable Intelligence through AI
Actionable Intelligence Transforms Data to Smarter Decisions "That's interesting, but now what?" is far too often the response to major data, analytics, and business intelligence initiatives. At DecisionCAMP 2025 last month, Carole-Ann Berlioz, Sparkling Logic's...
Hybrid AI Decision Automation: Key Insights from DecisionCAMP ’25
DecisionCAMP 2025, held this past month, brought together decision intelligence technologists from leading organizations and practitioners from the decision management community, to discuss the latest advances in decision modeling, applications and considerations for...